🎨 Streamlit Art and Video Gallery

The application has been deployed on an 8GB Mac Mini. Access the live app here: https://mac-mini.boga-vector.ts.net/

A sleek, side-by-side art gallery application built with Streamlit. This app allows you to display, manage, and explore stunning art pieces in a modern and interactive layout.

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✨ Features

• Side-by-Side Display: Art pieces are displayed in a responsive grid layout with evenly spaced columns.
• Admin Controls: Admins can log in to:
  • Add new art pieces with titles and descriptions.
  • Edit the title and description of existing art pieces.
  • Delete art pieces from the gallery.
• Customizable Styling: Includes hover effects, shadows, and clean typography for a professional gallery look.
• Secure Admin Access: Protected by an admin password, ensuring only authorized users can manage the gallery.

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📦 Installation

Prerequisites

• Python 3.8 or later
• Streamlit
• SQLite (default database, no additional setup required)

Clone the Repository

1. Clone this repository:

   git clone https://github.com/25mb-git/art-gallery.git

2. Install dependencies:

    pip install -r requirements.txt

3. Run the application:

    streamlit run gallery.py

Test Code

Test case

1. test_save_to_db: Tests adding an art piece to the database. Verifies that the image, title, and description are saved correctly.

2. test_fetch_art_pieces: Inserts an art piece and fetches it using fetch_art_pieces(). Verifies the fetched data matches the inserted data.

3. test_update_art_piece: Inserts an art piece and updates its title and description. Verifies that the update operation was successful.

4. test_delete_art_piece: Inserts an art piece and deletes it. Verifies that the art piece is no longer in the database.

Test execution

1. Run test code:: Make sure pytest is installed:

   pip install pytest

2. Run test code::

    pytest test/test_app.py